Data Scientist - Remote - Talent Pool

Kake; Brasil; Teletrabalho; BRL 624 000 - 936 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive Pay in USD

Fully Remote

Better Me Fund

Compassion is Badass

Resumo da oferta

A remote-first technology company is building a talent pool for a Senior Data Scientist Engineer role. This position demands strong expertise in SQL and Python, with responsibilities including enhancing data infrastructure and analytics capabilities. Ideal candidates will have experience in ETL processes and familiarity with tools like Airflow and Snowflake. The role promotes collaboration across teams and offers competitive pay in USD. Join a community that values personal growth and invests in social good.

Qualificações

• Proven experience with Python and SQL in a data-focused environment.
• Familiarity with data tools such as Airflow, Snowflake, and Streamlit.
• Strong understanding of analytics best practices and product data workflows.
• Basic knowledge or interest in cryptocurrencies, blockchain technology, and ERC-20 tokens.
• Ability to work effectively across time zones with overlap to US hours.
• Ability to work effectively across time zones with overlap to US hours (preferably Eastern Time).

Responsabilidades

• Help clear existing backlog and enhance the team’s data infrastructure and analytics capabilities.
• Work with ETL processes, analytics, and BI tools to drive actionable insights.
• Create and maintain data pipelines and workflows using Airflow.
• Perform data cleaning, transformation, and combination of existing data tables in Snowflake.
• Collaborate closely with product and engineering teams to deliver accurate reporting and analytics.
• Contribute to Streamlit dashboards and analytical tools.

Conhecimentos

SQL

Python

Data analysis

Business Intelligence

Communication skills (English)

Ferramentas

Airflow

Snowflake

Streamlit

Descrição da oferta de emprego

We’re building a talent pool for Senior Data Scientist Engineers. This pipeline role is for engineers with strong SQL and Python experience. This position plays a key role in supporting product decision‑making through data analysis, reporting, and business intelligence.

What You’ll Do

• Help clear existing backlog and enhance the team’s data infrastructure and analytics capabilities.
• Work with ETL processes, analytics, and BI tools to drive actionable insights.
• Create and maintain data pipelines and workflows using Airflow.
• Perform data cleaning, transformation, and combination of existing data tables in Snowflake.
• Collaborate closely with product and engineering teams to deliver accurate reporting and analytics.
• Contribute to Streamlit dashboards and analytical tools.

What We’re Looking For

• Proven experience with Python and SQL in a data‑focused environment.
• Familiarity with data tools such as Airflow, Snowflake, and Streamlit.
• Strong understanding of analytics best practices and product data workflows.
• Basic knowledge or interest in cryptocurrencies, blockchain technology, and ERC‑20 tokens.
• Excellent communication skills in English, both written and verbal.
• Ability to work effectively across time zones with overlap to US hours (preferably Eastern Time).

Nice to Have

• Prior experience in fintech, payments, or digital assets.
• Understanding of blockchain data structures or related crypto analytics.

Why Join Kake?

Kake is a remote‑first company with a global community — fully believing that it’s not where your table is, but what you bring to the table that matters. We provide top‑tier engineering teams to support some of the world’s most innovative companies, and we’ve built a culture where great people stay, grow, and thrive. We’re proud to be more than just a stop along the way in your career — we’re the destination.

The icing on the Kake:

💵 Competitive Pay in USD – Work globally, get paid globally.

🏡 Fully Remote – Simply put, we trust you.

🌱 Better Me Fund – We invest in your personal growth and passions.

❤️ Compassion is Badass – Join a community that invests in social good.